LeadsLLM: AI Real Estate Negotiation Agent
How Multi-Agent AI Negotiated €2.4M in Spanish Property Deals with 32% Response Rates
The Problem
A Spanish real estate investment firm was drowning in hundreds of property leads from websites like Idealista and Fotocasa, with agents manually reaching out to each seller—a time-consuming, inconsistent process that missed opportunities.
Lead Overload from Property Portals
Scraping 200+ property listings daily from Spanish real estate websites, but only reaching out to 15-20 sellers manually. 90% of potential deals were being ignored due to human bandwidth limitations.
Inconsistent Cash Offer Strategy
Each agent pitched cash sales differently, leading to low 8% response rates. No standardized AI approach meant losing deals to competitors with faster, more aggressive outreach.
Weak Negotiation Positioning
Agents lacked data-driven negotiation tactics, often paying asking price or losing deals by lowballing. No AI to analyze comparable sales, seller urgency signals, or optimal counter-offer timing.
Manual Follow-Up Bottlenecks
Sellers rarely responded to first contact, requiring 5-7 touchpoints to engage. Agents couldn't track and follow up with hundreds of prospects simultaneously, letting hot leads go cold.
Our Multi-Agent AI Solution
We built LeadsLLM as a specialized multi-agent AI system for Spanish real estate investment. Three AI agents work together: an Opener Agent for initial outreach, a Negotiator Agent for price discussions, and a Follow-Up Agent for persistence—all integrated with Salesloft CRM.
Opener Agent: AI Property Lead Acquisition
Automated web scraping from Idealista, Fotocasa, and other Spanish property portals. GPT-4 analyzes property listings to identify investment opportunities, then generates personalized Spanish-language emails pitching fast cash sales. Each message references specific property details, neighborhood comps, and seller pain points.
Salesloft CRM Auto-Sync
Every scraped property lead automatically flows into Salesloft CRM with enriched data—property address, asking price, days on market, seller contact info. AI tags leads by urgency and investment potential. Zero manual data entry from agents.
Negotiator Agent: AI Price Optimization
Large language model trained on Spanish real estate negotiation tactics. AI analyzes comparable sales, time-on-market urgency, and seller motivation signals from email responses. Autonomously sends counter-offers and negotiates down from asking price using data-driven strategies, framing cash-sale benefits in Spanish context.
Follow-Up Agent: AI Persistence Engine
Multi-touch sequence AI that tracks seller engagement and automatically sends follow-ups at optimal intervals. If a seller goes silent, the Follow-Up Agent re-engages with new angles—market updates, adjusted offers, testimonials. Knows when to escalate to human agent vs continue autonomous nurturing.
Human-in-the-Loop Handoff
When AI detects a seller is ready to close (e.g., accepts price range, requests contract details), system alerts human agent via Salesloft notification. Agent reviews full AI conversation history and takes over for final paperwork and closing. AI handles 95% of early-stage work; human closes deal.
Spanish Language AI Optimization
All AI agents fine-tuned for Spanish real estate terminology, cultural communication norms, and regional negotiation styles. Natural language generation adapts to formal vs casual seller personas, uses appropriate business Spanish, and understands legal property terminology.
Real Estate AI Success
Over 6 months of deployment, the Spanish real estate firm achieved:
Seller Response Rate
4x higher than manual outreach through AI personalization
Lower Purchase Prices
AI negotiation saved €360K across deals vs asking prices
Total Deal Value
Properties negotiated by AI agents over 6-month period
Agent Time Saved
Agents focus on closings, not prospecting and follow-ups
Daily Leads Processed
AI scrapes and contacts sellers from property portals automatically
Deal Pipeline Growth
More qualified opportunities flowing to human closers
Before LeadsLLM, I was manually emailing 15 sellers a day. Now the AI handles 180+ daily—scraping leads, pitching cash offers in perfect Spanish, and negotiating prices down. I only step in when they're ready to sign. We've saved €360K in purchase costs and 6x'd our pipeline. It's like having a tireless junior agent.
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